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Journal of Inverse and Ill-posed Problems

Editor-in-Chief: Kabanikhin, Sergey I.

6 Issues per year


IMPACT FACTOR 2016: 0.783
5-year IMPACT FACTOR: 0.792

CiteScore 2016: 0.80

SCImago Journal Rank (SJR) 2015: 0.583
Source Normalized Impact per Paper (SNIP) 2015: 1.106

Mathematical Citation Quotient (MCQ) 2015: 0.43

Online
ISSN
1569-3945
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In This Section
Volume 14, Issue 7 (Dec 2006)

Issues

Optimal control as a regularization method for ill-posed problems

S. Kindermann
  • Department of Mathematics, UCLA, on leave from Industrial Mathematics Institute, University Linz, Altenbergerstr. 69, 4040 Linz, Austria. E-mail:
/ C. Navasca
  • Department of Mathematics, University of California, Los Angeles, CA 90095-1555, USA. E-mail:

We describe two regularization techniques based on optimal control for solving two types of ill-posed problems. We include convergence proofs of the regularization method and error estimates. We illustrate our method through problems in signal processing and parameter identification using an efficient Riccati solver. Our numerical results are compared to the same examples solved using Tikhonov regularization.

About the article

Published Online:

Published in Print: 2006-12-01



Citation Information: Journal of Inverse and Ill-posed Problems jiip, ISSN (Online) 1569-3953, ISSN (Print) 0928-0219, DOI: https://doi.org/10.1515/156939406779802022. Export Citation

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